Travelled to:1 × France
1 × Spain
1 × United Kingdom
2 × USA
Collaborated with:∅ J.V.Hansen D.Kühlwein E.Tsivtsivadze J.Urban T.v.Laarhoven H.Geuvers
Talks about:learn (3) varianc (2) multi (2) task (2) decomposit (1) exponenti (1) distribut (1) techniqu (1) overview (1) mathemat (1)
Person: Tom Heskes
DBLP: Heskes:Tom
Contributed to:
2012
2011
2000
20001998Wrote 5 papers:
- IJCAR-2012-KuhlweinLTUH #evaluation #overview #scalability
- Overview and Evaluation of Premise Selection Techniques for Large Theory Mathematics (DK, TvL, ET, JU, TH), pp. 378–392.
- KDIR-2011-KuhlweinUTGH #automation #multi #ranking #reasoning
- Multi-output Ranking for Automated Reasoning (DK, JU, ET, HG, TH), pp. 42–51.
- ICML-2000-Heskes #empirical #learning
- Empirical Bayes for Learning to Learn (TH), pp. 367–374.
- ICPR-v2-2000-HansenH #bias #composition #exponential #fault #independence #product line
- General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of Distributions (JVH, TH), pp. 2207–2210.
- ICML-1998-Heskes #approach #learning #multi
- Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach (TH), pp. 233–241.